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Authors:P. K. Shukla: Indian Institute of Technology Kanpur, India
Publication title:A Stochastic Algorithm for Constrained Multiobjective Optimization
Conference:Nordic MPS 2004. The Ninth Meeting of the Nordic Section of the Mathematical Programming Society
Publication type: Abstract
Issue:014
Article No.:025
Abstract:A stochastic method is presented for solving constrained multiobjective optimization problems. This method may be thought of as an extension of Schäffler’s method (which is based on solution of stochastic differential equation) for the solution of unconstrained multiobjective problems. Several methods for constraint handling are presented in this paper. Numerical results on several test problems are given. Problems with a large number of variables as well as with complex search space can be handled by this method. Finally using the above stochastic method an algorithm for constrained global multiobjective optimization is presented.
Language:English
Year:2004
No. of pages:1
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/014/025/ecp014025.pdf
Available:2004-12-28
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
P. K. Shukla (2004). A Stochastic Algorithm for Constrained Multiobjective Optimization, Nordic MPS 2004. The Ninth Meeting of the Nordic Section of the Mathematical Programming Society http://www.ep.liu.se/ecp_article/index.en.aspx?issue=014;article=025 (accessed 9/16/2014)